{"id":"W2122253120","doi":"10.1261/rna.033233.112","title":"RNA editing of protein sequences: A rare event in human transcriptomes","year":2012,"lang":"en","type":"article","venue":"RNA","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University and Génome Québec Innovation Centre; McGill Genome Centre","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Genome Canada","keywords":"Biology; RNA editing; Transcriptome; Computational biology; RNA; ADAR; DNA sequencing; Genetics; Gene; Deep sequencing; Human genome; Alu element; Genome; Gene expression","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001823714,0.0003210136,0.0006504937,0.0005931773,0.0004291999,0.001046044,0.0003949105,0.0006424856,0.0006944279],"category_scores_gemma":[0.005782343,0.0003397583,0.0005763628,0.0008751153,0.0005886116,0.0005125495,0.0005688741,0.000645656,0.0005229648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003255587,"about_ca_system_score_gemma":0.0004226293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006000117,"about_ca_topic_score_gemma":0.0008883757,"domain_scores_codex":[0.9982079,0.0003197252,0.0001348554,0.0007115625,0.0005104269,0.000115594],"domain_scores_gemma":[0.9956873,0.002192999,0.0009506391,0.0007003921,0.0003561594,0.0001124768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001220313,0.00009653003,0.2148536,0.001479657,0.0006062369,0.003500503,0.001279084,0.01484766,0.6367409,0.004508544,0.002788026,0.1180789],"study_design_scores_gemma":[0.000121831,0.0005340347,0.3886115,0.0003965516,0.0007133997,0.02178778,0.0008186385,0.1093796,0.4041463,0.02788075,0.04543376,0.000175672],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.834134,0.006385123,0.1519243,0.0005244098,0.00009171764,0.00006770707,0.003015195,0.001938002,0.001919531],"genre_scores_gemma":[0.9438704,0.001122637,0.04964534,0.0004816762,0.00004993685,0.00005839123,0.003899247,0.0002682397,0.0006040627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001823714,"threshold_uncertainty_score":0.009644806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472773473779297,"score_gpt":0.2760149067063208,"score_spread":0.2612871719685278,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}